DSPy
Builds model pipelines as programs whose prompts are optimised rather than written.
Resumen
DSPy treats a model pipeline as a program with declared inputs and outputs, and compiles the prompts by measuring which wording scores best on examples. It solves the problem that hand-tuned prompts are brittle: they encode one person's guess about phrasing and stop working when the model or the task shifts. It exists because prompt wording is a parameter that can be searched, and searching it beats guessing at it.
Grafo de tecnologías
Cómo se conecta DSPy con el resto del stack.
Herramientas
Software que implementa o se integra con DSPy.